Another way to disentangle SSL representations is to measure the overlap in brain variance explained by SSL model layers and the hand-constructed feature spaces.
To accomplish this we used variance partitioning, which separates the brain response variance that can be explained by two models into their unique and overlapping contributions [1]}, [2]}.
